Data Scientist, Research & Experimentation at Virta Health | Torre
Data Scientist, Research & Experimentation
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Virta Health

Data Scientist, Research & Experimentation

Virta Health
Posted by
Mariajosé Gómez
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Full-time

Legal agreement: Employment

Compensation
USD109k - 200k/year
Non-negotiable
location_on
Remote (anywhere)
Posted almost 6 years ago

Responsibilities

• Be the principal data science owner and point of contact for commercial research at Virta. Collaborate with our providers, the Research team and Chief Medical Officer to design and analyse experiments based on our commercial registry data, improve commercial data quality, build research dashboards and assist with publications. • Be the owner of the data ‘roadmap’ for the research team, determining the right mix of science, analytics, and algorithms needed to drive impact • Reframe vague but mission-critical business objectives into empirical problems that can be addressed with your skillset • Weave stories with data to communicate the results of your work to leaders and individual contributors alike • Optimize our products and decision-making with deep analysis of user behavior & experimentation • Participate in setting the direction of highly cross functional teams (product dev, clinical ops, marketing, customer success, clinical research) • Collaborate with other data scientists to solve problems by building extensible software, replicable analyses, and robust, well-tested data pipelines • Help Virta reach more members and save more lives by demonstrating Virta’s value to our customers through research Within your first 90 days at Virta, we expect you will do the following: • Set the analytical and research agenda for you and your partnering teams • Immerse yourself in the rich, longitudinal data we collect on our patients • Teach and inspire other Insights & Analytics team members through knowledge sharing, pair programming, and/or giving feedback during code reviews • Partner with research and product teams to design, implement, and analyze experiments; develop research questions in collaboration with the research team and answer these questions through post-hoc analysis of our registry (commercial) data; write conference abstracts
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